A level set of a real-valued function on three-dimensional space. Where the function is continuously differentiable and its gradient is nonzero, the regular level set theorem makes this a smooth surface with normal vector parallel to the gradient. The equation alone can also have singular points, or fail to describe a two-dimensional surface at all.
For a fixed nonzero , a nonzero level set is the sphereThis follows by completing the square after multiplying by the positive denominator. Nonzero levels exist only for . The zero level is the hyperplane ; the extreme levels shrink to points . The Cauchy-Schwarz inequality gives , so these extrema are global. At them the Hessian matrix is respectively and . In two dimensions the spheres are circles whose centres all lie on the axis spanned by .
A level curve is the planar level set of a scalar function. Where the gradient does not vanish, the implicit function theorem makes it locally a smooth curve. At a critical point, branches may cross, narrow into a cusp or shrink to a point, so a plot should be interpreted with the local critical-point analysis.
A contour plot displays several level curves of a real-valued function of two variables, usually with labels indicating their values. It represents a surface's height on a flat page. Closely spaced level curves indicate a large change per unit distance only when the gaps between their labeled values are comparable.
A level set at a regular value is a smooth submanifold. By the regular level set theorem, its codimension is the dimension of the target. For determinant-one real symmetric matrices, is nonzero because gives , so the constraint has codimension one.
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